{"id":17164838,"url":"https://github.com/tcapelle/action_recognition","last_synced_at":"2025-04-13T13:31:43.262Z","repository":{"id":39872051,"uuid":"258558831","full_name":"tcapelle/action_recognition","owner":"tcapelle","description":"Solving UCF-101 with fastai2","archived":false,"fork":false,"pushed_at":"2023-04-12T05:45:56.000Z","size":18440,"stargazers_count":28,"open_issues_count":5,"forks_count":4,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-03-27T05:01:39.319Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://tcapelle.github.io/action_recognition/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tcapelle.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-04-24T16:00:27.000Z","updated_at":"2024-02-26T17:20:40.000Z","dependencies_parsed_at":"2023-02-16T14:31:43.752Z","dependency_job_id":null,"html_url":"https://github.com/tcapelle/action_recognition","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":"fastai/nbdev_template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tcapelle%2Faction_recognition","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tcapelle%2Faction_recognition/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tcapelle%2Faction_recognition/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tcapelle%2Faction_recognition/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tcapelle","download_url":"https://codeload.github.com/tcapelle/action_recognition/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248721127,"owners_count":21151050,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-10-14T22:52:56.539Z","updated_at":"2025-04-13T13:31:38.253Z","avatar_url":"https://github.com/tcapelle.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Action Recognition\n\u003e Implementation of various architectures to solve the UCF 101 actions dataset\n\n\nIt is based on the implementations found on [Action Recognition](https://github.com/eriklindernoren/Action-Recognition).\n\nI try to keep with updated architectures that come out. Right now transformers are all we need... Follow @lucidrains to get the next attention based model ASAP.\n\n## Install\n\nFirst install `fastai`:\n```bash\n$ pip install fastcore fastai\n```\n\n## Results\nResults are computed on a random splut 80%/20%. Using `fastai2` built-in `fit_one_cycle` training.\n\n- [train baseline](01_train_baseline.ipynb): Implements a Basic Resnet 34 encoder coupled with a simple attention layer over the frames. (91% accuracy)\n- [train convlstm](02_train_convlstm.ipynb): resnet34 encoder + LSTM layer over image features. (84.8% accuracy)\n- [train_transformer](03_train_transformer.ipynb): Added the new TimeSformer and STAM from @lucidrains implementations.\n\nThis package also provides function to download nad process the video dataset into multiple frames.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftcapelle%2Faction_recognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftcapelle%2Faction_recognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftcapelle%2Faction_recognition/lists"}